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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust, intelligent, sustainable, and evolving (RISE
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are properly cleaned, sterilized, and distributed according to established protocols. The ideal candidate will work closely with dental assistants, faculty, and students to maintain a steady flow of safe, ready
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for the preparation, distribution, and control of sterile injectable medications. Roles and responsibilities include chemotherapy and non-chemotherapy sterile compounding, record keeping (refrigerator temperature logs
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the Vice President’s calendar; makes appointments and travel arrangements; plans and arranges events or meetings as directed by the Vice President. Records, prepares, and distributes minutes for meetings
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of Healthcare Central Service Material Management (IAHCSMM) or Certified Sterile Processing and Distribution Technician (CSPDT) certification issued through The Certification Board for Sterile Processing and
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/out, charge posting, cash management and patient appointment scheduling. Position also involves customer service, message distribution, ancillary scheduling and preparation and referrals management
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of deep learning-based denoising frameworks and sub-tomogram alignment for cryo-electron tomography datasets, to support the analysis of the performance of various denoising algorithms. This role will
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 19 days ago
and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity. Analyze member records and claims data to ensure
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, Hugging Face etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers